Step 1: Generate Stress/No-Stress Labels: We generate Stress/No-Stress labels for each 5 min interval based on the SNS Index values and the psycho-physiological definition of stress as instantaneous hyperarousal.

Step 2: Regress on Stress/No-Stress: Using the Stress/No-Stress binary variable as the response variable, we run a model that provides explanations for the sources of participant stress.


1 Physical Acitvity (PA) Per Participant & Day

2 Frequencies of Sedentary Activities Per Day and Participant

## , ,  = CD
## 
##       
##        Work NonWork Driving
##   T001    0       0       0
##   T002  129      41       0
##   T003   82       2       9
##   T004  147       0      12
##   T005  109      15      14
##   T006   74      40       0
##   T007  126       0       5
##   T008   61      26      20
##   T009    0       3       0
##   T010  100       0      11
##   T011    0       0       0
##   T012   68      87      18
##   T014   99      25       0
##   T015   86      24       6
##   T016  104      41       4
##   T017  130       0       0
##   T018   74      29       0
##   T019    0       0       0
##   T020  136      12      31
##   T021   38      80      40
##   T022   75      33       0
##   T023  158       0      15
##   T024  119      11       0
##   T025  126       7      34
## 
## , ,  = WD
## 
##       
##        Work NonWork Driving
##   T001  162      22       0
##   T002   87     141      23
##   T003  102       7     145
##   T004  344      15       8
##   T005  146     100      69
##   T006  178       6      19
##   T007  184      28      73
##   T008  195      15      17
##   T009  254       7       0
##   T010  164      61      16
##   T011    0       0       0
##   T012   75      73      10
##   T014  145     112      13
##   T015  209      49      19
##   T016  194      52      15
##   T017   96      41      20
##   T018  172      21       6
##   T019  100     171      20
##   T020  224       9      11
##   T021  103      85      62
##   T022  169     142       0
##   T023  199      55      52
##   T024   90      24      22
##   T025  223      58      84
## 
## , ,  = ND
## 
##       
##        Work NonWork Driving
##   T001    0     115       4
##   T002    0     118       0
##   T003    0     104      10
##   T004    0     160       8
##   T005    0      97      21
##   T006    0      76      15
##   T007    0     116       0
##   T008    0      86       6
##   T009    0      76       0
##   T010    0      97       0
##   T011    0      25       0
##   T012    0      95       7
##   T014    0      97      43
##   T015    0     157      13
##   T016    0     148       0
##   T017    0      52       4
##   T018    0     114       5
##   T019    0     166       6
##   T020    0      91      22
##   T021    0     109      28
##   T022    0      16       0
##   T023    0     103      12
##   T024    0      95       0
##   T025    0     110       0

3 Distrubution of SNS Index in Sedentary Activities

4 Viz of Stress Distribution and QQ Plots for T025

5 Viz of Stress Distribution per Participant and Day

6 PA_Percent Plot

7 Stress Percent Plots

8 Big 5 Box Plots

9 Cadence PDF

10 NASA Mental Demand Plot

## 
##  Descriptive statistics by group 
## group: CD
##             vars  n  mean    sd median trimmed   mad min max range  skew
## Participant    1 21 12.86  7.01     13   12.82  8.90   2  24    22  0.04
## Day            2 21  1.00  0.00      1    1.00  0.00   1   1     0   NaN
## Date           3 21 29.38 20.23     28   28.76 26.69   2  64    62  0.19
## N_MD           4 21 10.52  5.77     11   10.59  5.93   1  19    18 -0.14
## Profession     5 21  1.38  0.50      1    1.35  0.00   1   2     1  0.46
##             kurtosis   se
## Participant    -1.43 1.53
## Day              NaN 0.00
## Date           -1.42 4.42
## N_MD           -1.31 1.26
## Profession     -1.87 0.11
## ------------------------------------------------------------ 
## group: WD
##             vars  n  mean    sd median trimmed   mad min max range skew
## Participant    1 44 12.50  7.29   13.0   12.50  9.64   1  24    23 0.00
## Day            2 44  2.00  0.00    2.0    2.00  0.00   2   2     0  NaN
## Date           3 44 29.07 20.55   31.5   28.47 28.91   1  65    64 0.14
## N_MD           4 44  8.00  4.45    7.5    7.67  5.19   2  17    15 0.51
## Profession     5 44  1.45  0.50    1.0    1.44  0.00   1   2     1 0.18
##             kurtosis   se
## Participant    -1.41 1.10
## Day              NaN 0.00
## Date           -1.39 3.10
## N_MD           -0.96 0.67
## Profession     -2.01 0.08
## ------------------------------------------------------------ 
## group: ND
##             vars  n  mean    sd median trimmed   mad min max range skew
## Participant    1 24 12.50  7.07   12.5   12.50  8.90   1  24    23 0.00
## Day            2 24  3.00  0.00    3.0    3.00  0.00   3   3     0  NaN
## Date           3 24 31.46 20.74   30.5   30.70 25.95   4  67    63 0.20
## N_MD           4 24  4.88  4.77    3.0    4.15  1.48   1  16    15 1.39
## Profession     5 24  1.42  0.50    1.0    1.40  0.00   1   2     1 0.32
##             kurtosis   se
## Participant    -1.35 1.44
## Day              NaN 0.00
## Date           -1.34 4.23
## N_MD            0.51 0.97
## Profession     -1.98 0.10

11 NASA Physical Demand Plot

## 
##  Descriptive statistics by group 
## group: CD
##             vars  n  mean    sd median trimmed   mad min max range skew
## Participant    1 21 12.86  7.01     13   12.82  8.90   2  24    22 0.04
## Day            2 21  1.00  0.00      1    1.00  0.00   1   1     0  NaN
## Date           3 21 29.38 20.23     28   28.76 26.69   2  64    62 0.19
## N_PD           4 21  6.81  4.91      5    6.12  2.97   2  18    16 0.96
## Profession     5 21  1.38  0.50      1    1.35  0.00   1   2     1 0.46
##             kurtosis   se
## Participant    -1.43 1.53
## Day              NaN 0.00
## Date           -1.42 4.42
## N_PD           -0.37 1.07
## Profession     -1.87 0.11
## ------------------------------------------------------------ 
## group: WD
##             vars  n  mean    sd median trimmed   mad min max range skew
## Participant    1 44 12.50  7.29   13.0   12.50  9.64   1  24    23 0.00
## Day            2 44  2.00  0.00    2.0    2.00  0.00   2   2     0  NaN
## Date           3 44 29.07 20.55   31.5   28.47 28.91   1  65    64 0.14
## N_PD           4 44  5.45  3.74    4.0    4.92  2.97   1  16    15 1.26
## Profession     5 44  1.45  0.50    1.0    1.44  0.00   1   2     1 0.18
##             kurtosis   se
## Participant    -1.41 1.10
## Day              NaN 0.00
## Date           -1.39 3.10
## N_PD            1.08 0.56
## Profession     -2.01 0.08
## ------------------------------------------------------------ 
## group: ND
##             vars  n  mean    sd median trimmed   mad min max range skew
## Participant    1 24 12.50  7.07   12.5    12.5  8.90   1  24    23 0.00
## Day            2 24  3.00  0.00    3.0     3.0  0.00   3   3     0  NaN
## Date           3 24 31.46 20.74   30.5    30.7 25.95   4  67    63 0.20
## N_PD           4 24  4.67  3.25    4.0     4.3  2.22   1  15    14 1.37
## Profession     5 24  1.42  0.50    1.0     1.4  0.00   1   2     1 0.32
##             kurtosis   se
## Participant    -1.35 1.44
## Day              NaN 0.00
## Date           -1.34 4.23
## N_PD            1.86 0.66
## Profession     -1.98 0.10

12 NASA Temporal Demand Plot

13 NASA Performance Plot

## 
##  Descriptive statistics by group 
## group: CD
##             vars  n  mean    sd median trimmed   mad min max range  skew
## Participant    1 21 12.86  7.01     13   12.82  8.90   2  24    22  0.04
## Day            2 21  1.00  0.00      1    1.00  0.00   1   1     0   NaN
## Date           3 21 29.38 20.23     28   28.76 26.69   2  64    62  0.19
## N_MD           4 21 10.52  5.77     11   10.59  5.93   1  19    18 -0.14
## Profession     5 21  1.38  0.50      1    1.35  0.00   1   2     1  0.46
##             kurtosis   se
## Participant    -1.43 1.53
## Day              NaN 0.00
## Date           -1.42 4.42
## N_MD           -1.31 1.26
## Profession     -1.87 0.11
## ------------------------------------------------------------ 
## group: WD
##             vars  n  mean    sd median trimmed   mad min max range skew
## Participant    1 44 12.50  7.29   13.0   12.50  9.64   1  24    23 0.00
## Day            2 44  2.00  0.00    2.0    2.00  0.00   2   2     0  NaN
## Date           3 44 29.07 20.55   31.5   28.47 28.91   1  65    64 0.14
## N_MD           4 44  8.00  4.45    7.5    7.67  5.19   2  17    15 0.51
## Profession     5 44  1.45  0.50    1.0    1.44  0.00   1   2     1 0.18
##             kurtosis   se
## Participant    -1.41 1.10
## Day              NaN 0.00
## Date           -1.39 3.10
## N_MD           -0.96 0.67
## Profession     -2.01 0.08
## ------------------------------------------------------------ 
## group: ND
##             vars  n  mean    sd median trimmed   mad min max range skew
## Participant    1 24 12.50  7.07   12.5   12.50  8.90   1  24    23 0.00
## Day            2 24  3.00  0.00    3.0    3.00  0.00   3   3     0  NaN
## Date           3 24 31.46 20.74   30.5   30.70 25.95   4  67    63 0.20
## N_MD           4 24  4.88  4.77    3.0    4.15  1.48   1  16    15 1.39
## Profession     5 24  1.42  0.50    1.0    1.40  0.00   1   2     1 0.32
##             kurtosis   se
## Participant    -1.35 1.44
## Day              NaN 0.00
## Date           -1.34 4.23
## N_MD            0.51 0.97
## Profession     -1.98 0.10

14 NASA Effort Plot

15 NASA Frustration Plot

16 Sleep Duration PDF

16.0.1 mCadence PDF

17 mCadence Box Plot

18 EDA Plots

19 Correlation Plot

20 Full Logistic Regression Mixed Effects Model (Stress from SNS Index)

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: SNS_Stress ~ Cadence + Day * Period + Activity4 + Day * PA_Percent *  
##     PA_Intensity + Sleep_Time + Profession + N_MD + N_PD + N_P +  
##     Agreeableness + Conscientiousness + Extraversion + Neuroticism +  
##     Openness + (1 | Participant)
##    Data: df_sedentMultimodal
## 
##      AIC      BIC   logLik deviance df.resid 
##     8734     8946    -4338     8676    11147 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -12.333  -0.484   0.076   0.377  25.078 
## 
## Random effects:
##  Groups      Name        Variance Std.Dev.
##  Participant (Intercept) 2.82     1.68    
## Number of obs: 11176, groups:  Participant, 24
## 
## Fixed effects:
##                                Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                   -15.68091    4.11026   -3.82  0.00014 ***
## Cadence                         0.07850    0.00426   18.42  < 2e-16 ***
## DayWD                          -3.00362    1.11108   -2.70  0.00686 ** 
## DayND                          -2.60406    0.78360   -3.32  0.00089 ***
## PeriodAfternoon                 0.60041    0.13112    4.58  4.7e-06 ***
## Activity4NonWork               -0.35214    0.08355   -4.21  2.5e-05 ***
## Activity4Driving                0.68411    0.10199    6.71  2.0e-11 ***
## PA_Percent                     -0.20044    0.06786   -2.95  0.00314 ** 
## PA_Intensity                   -0.00660    0.01917   -0.34  0.73086    
## Sleep_Time                      0.06032    0.03333    1.81  0.07029 .  
## ProfessionSP                   -1.42235    0.79096   -1.80  0.07214 .  
## N_MD                            0.10307    0.01384    7.45  9.6e-14 ***
## N_PD                            0.01032    0.01556    0.66  0.50690    
## N_P                             0.04943    0.01066    4.64  3.5e-06 ***
## Agreeableness                   0.04118    0.22144    0.19  0.85245    
## Conscientiousness              -0.08896    0.23479   -0.38  0.70477    
## Extraversion                    0.69897    0.23390    2.99  0.00281 ** 
## Neuroticism                     0.38558    0.26629    1.45  0.14764    
## Openness                        1.23476    0.24135    5.12  3.1e-07 ***
## DayWD:PeriodAfternoon          -0.60723    0.15306   -3.97  7.3e-05 ***
## DayND:PeriodAfternoon          -0.57229    0.17874   -3.20  0.00137 ** 
## DayWD:PA_Percent                0.61980    0.10058    6.16  7.2e-10 ***
## DayND:PA_Percent                0.38876    0.07446    5.22  1.8e-07 ***
## DayWD:PA_Intensity              0.04145    0.02816    1.47  0.14105    
## DayND:PA_Intensity              0.06678    0.02023    3.30  0.00096 ***
## PA_Percent:PA_Intensity         0.00496    0.00169    2.93  0.00340 ** 
## DayWD:PA_Percent:PA_Intensity  -0.01204    0.00242   -4.97  6.7e-07 ***
## DayND:PA_Percent:PA_Intensity  -0.00827    0.00179   -4.63  3.7e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## Model failed to converge with max|grad| = 0.220015 (tol = 0.002, component 1)
## Model is nearly unidentifiable: very large eigenvalue
##  - Rescale variables?
## Model is nearly unidentifiable: large eigenvalue ratio
##  - Rescale variables?
Observations 11176
Dependent variable SNS_Stress
Type Mixed effects generalized linear model
Family binomial
Link logit
AIC 8734.188
BIC 8946.512
Pseudo-R² (fixed effects) 0.443
Pseudo-R² (total) 0.700
Fixed Effects
Est. S.E. z val. p
(Intercept) -15.681 4.110 -3.815 0.000
Cadence 0.079 0.004 18.422 0.000
DayWD -3.004 1.111 -2.703 0.007
DayND -2.604 0.784 -3.323 0.001
PeriodAfternoon 0.600 0.131 4.579 0.000
Activity4NonWork -0.352 0.084 -4.215 0.000
Activity4Driving 0.684 0.102 6.708 0.000
PA_Percent -0.200 0.068 -2.954 0.003
PA_Intensity -0.007 0.019 -0.344 0.731
Sleep_Time 0.060 0.033 1.810 0.070
ProfessionSP -1.422 0.791 -1.798 0.072
N_MD 0.103 0.014 7.447 0.000
N_PD 0.010 0.016 0.664 0.507
N_P 0.049 0.011 4.637 0.000
Agreeableness 0.041 0.221 0.186 0.852
Conscientiousness -0.089 0.235 -0.379 0.705
Extraversion 0.699 0.234 2.988 0.003
Neuroticism 0.386 0.266 1.448 0.148
Openness 1.235 0.241 5.116 0.000
DayWD:PeriodAfternoon -0.607 0.153 -3.967 0.000
DayND:PeriodAfternoon -0.572 0.179 -3.202 0.001
DayWD:PA_Percent 0.620 0.101 6.162 0.000
DayND:PA_Percent 0.389 0.074 5.221 0.000
DayWD:PA_Intensity 0.041 0.028 1.472 0.141
DayND:PA_Intensity 0.067 0.020 3.301 0.001
PA_Percent:PA_Intensity 0.005 0.002 2.929 0.003
DayWD:PA_Percent:PA_Intensity -0.012 0.002 -4.971 0.000
DayND:PA_Percent:PA_Intensity -0.008 0.002 -4.629 0.000
Random Effects
Group Parameter Std. Dev.
Participant (Intercept) 1.680
Grouping Variables
Group # groups ICC
Participant 24 0.462
## $Participant
##      (Intercept)
## T001     -0.8540
## T002     -2.9309
## T003     -0.2721
## T004     -0.7983
## T005      2.2024
## T006      2.9595
## T007      0.3268
## T008     -1.1666
## T009     -2.5408
## T010      1.6349
## T011     -1.2626
## T012      1.8691
## T014     -0.9215
## T015     -1.3702
## T016     -3.0227
## T017      0.7795
## T018      1.1604
## T019      2.0140
## T020      2.2303
## T021      1.3081
## T022     -0.2852
## T023      0.1274
## T024     -1.1449
## T025     -0.0809
## 
## with conditional variances for "Participant"

21 Remove Agreeableness from the Model

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: SNS_Stress ~ Cadence + Day * Period + Activity4 + Day * PA_Percent *  
##     PA_Intensity + Sleep_Time + Profession + N_MD + N_PD + N_P +  
##     Conscientiousness + Extraversion + Neuroticism + Openness +  
##     (1 | Participant)
##    Data: df_sedentMultimodal
## 
##      AIC      BIC   logLik deviance df.resid 
##     8732     8937    -4338     8676    11148 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -12.343  -0.484   0.076   0.377  25.100 
## 
## Random effects:
##  Groups      Name        Variance Std.Dev.
##  Participant (Intercept) 2.83     1.68    
## Number of obs: 11176, groups:  Participant, 24
## 
## Fixed effects:
##                                Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                   -15.38357    3.72935   -4.12  3.7e-05 ***
## Cadence                         0.07850    0.00426   18.42  < 2e-16 ***
## DayWD                          -3.00468    1.10951   -2.71  0.00677 ** 
## DayND                          -2.60342    0.78095   -3.33  0.00086 ***
## PeriodAfternoon                 0.60025    0.13107    4.58  4.7e-06 ***
## Activity4NonWork               -0.35180    0.08354   -4.21  2.5e-05 ***
## Activity4Driving                0.68413    0.10199    6.71  2.0e-11 ***
## PA_Percent                     -0.19994    0.06768   -2.95  0.00314 ** 
## PA_Intensity                   -0.00649    0.01911   -0.34  0.73402    
## Sleep_Time                      0.06005    0.03331    1.80  0.07145 .  
## ProfessionSP                   -1.47678    0.73678   -2.00  0.04503 *  
## N_MD                            0.10298    0.01383    7.45  9.7e-14 ***
## N_PD                            0.01040    0.01554    0.67  0.50356    
## N_P                             0.04941    0.01066    4.64  3.5e-06 ***
## Conscientiousness              -0.08550    0.23391   -0.37  0.71471    
## Extraversion                    0.70366    0.23096    3.05  0.00231 ** 
## Neuroticism                     0.37678    0.25994    1.45  0.14720    
## Openness                        1.23440    0.24048    5.13  2.9e-07 ***
## DayWD:PeriodAfternoon          -0.60710    0.15300   -3.97  7.2e-05 ***
## DayND:PeriodAfternoon          -0.57196    0.17868   -3.20  0.00137 ** 
## DayWD:PA_Percent                0.61960    0.10054    6.16  7.1e-10 ***
## DayND:PA_Percent                0.38863    0.07430    5.23  1.7e-07 ***
## DayWD:PA_Intensity              0.04151    0.02812    1.48  0.13996    
## DayND:PA_Intensity              0.06675    0.02016    3.31  0.00093 ***
## PA_Percent:PA_Intensity         0.00495    0.00169    2.93  0.00339 ** 
## DayWD:PA_Percent:PA_Intensity  -0.01204    0.00242   -4.97  6.6e-07 ***
## DayND:PA_Percent:PA_Intensity  -0.00827    0.00178   -4.64  3.5e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## optimizer (Nelder_Mead) convergence code: 4 (failure to converge in 10000 evaluations)
## Model failed to converge with max|grad| = 0.199304 (tol = 0.002, component 1)
## Model is nearly unidentifiable: very large eigenvalue
##  - Rescale variables?
## Model is nearly unidentifiable: large eigenvalue ratio
##  - Rescale variables?
## failure to converge in 10000 evaluations
Observations 11176
Dependent variable SNS_Stress
Type Mixed effects generalized linear model
Family binomial
Link logit
AIC 8732.220
BIC 8937.223
Pseudo-R² (fixed effects) 0.442
Pseudo-R² (total) 0.700
Fixed Effects
Est. S.E. z val. p
(Intercept) -15.384 3.729 -4.125 0.000
Cadence 0.078 0.004 18.422 0.000
DayWD -3.005 1.110 -2.708 0.007
DayND -2.603 0.781 -3.334 0.001
PeriodAfternoon 0.600 0.131 4.580 0.000
Activity4NonWork -0.352 0.084 -4.211 0.000
Activity4Driving 0.684 0.102 6.708 0.000
PA_Percent -0.200 0.068 -2.954 0.003
PA_Intensity -0.006 0.019 -0.340 0.734
Sleep_Time 0.060 0.033 1.803 0.071
ProfessionSP -1.477 0.737 -2.004 0.045
N_MD 0.103 0.014 7.445 0.000
N_PD 0.010 0.016 0.669 0.504
N_P 0.049 0.011 4.637 0.000
Conscientiousness -0.086 0.234 -0.366 0.715
Extraversion 0.704 0.231 3.047 0.002
Neuroticism 0.377 0.260 1.449 0.147
Openness 1.234 0.240 5.133 0.000
DayWD:PeriodAfternoon -0.607 0.153 -3.968 0.000
DayND:PeriodAfternoon -0.572 0.179 -3.201 0.001
DayWD:PA_Percent 0.620 0.101 6.163 0.000
DayND:PA_Percent 0.389 0.074 5.230 0.000
DayWD:PA_Intensity 0.042 0.028 1.476 0.140
DayND:PA_Intensity 0.067 0.020 3.310 0.001
PA_Percent:PA_Intensity 0.005 0.002 2.930 0.003
DayWD:PA_Percent:PA_Intensity -0.012 0.002 -4.972 0.000
DayND:PA_Percent:PA_Intensity -0.008 0.002 -4.637 0.000
Random Effects
Group Parameter Std. Dev.
Participant (Intercept) 1.680
Grouping Variables
Group # groups ICC
Participant 24 0.462

22 Optimal and Scaled Model

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: 
## SNS_Stress ~ s_Cadence + Day * Period + Activity4 + Day * s_PA_Percent *  
##     s_PA_Intensity + s_Sleep_Time + Profession + s_N_MD + s_N_PD +  
##     s_N_P + s_Conscientiousness + s_Extraversion + s_Neuroticism +  
##     s_Openness + (1 | Participant)
##    Data: df_sedentMultimodal
## 
##      AIC      BIC   logLik deviance df.resid 
##     8732     8937    -4338     8676    11148 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -12.346  -0.484   0.076   0.377  25.144 
## 
## Random effects:
##  Groups      Name        Variance Std.Dev.
##  Participant (Intercept) 2.83     1.68    
## Number of obs: 11176, groups:  Participant, 24
## 
## Fixed effects:
##                                   Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                         0.3996     0.4827    0.83   0.4077    
## s_Cadence                           0.5521     0.0300   18.42  < 2e-16 ***
## DayWD                               0.6482     0.1467    4.42  1.0e-05 ***
## DayND                               0.8438     0.1879    4.49  7.1e-06 ***
## PeriodAfternoon                     0.6002     0.1312    4.57  4.8e-06 ***
## Activity4NonWork                   -0.3518     0.0836   -4.21  2.6e-05 ***
## Activity4Driving                    0.6842     0.1020    6.71  2.0e-11 ***
## s_PA_Percent                       -0.1669     0.0852   -1.96   0.0503 .  
## s_PA_Intensity                      0.4423     0.0857    5.16  2.4e-07 ***
## s_Sleep_Time                        0.0856     0.0475    1.80   0.0715 .  
## ProfessionSP                       -1.4772     0.7399   -2.00   0.0459 *  
## s_N_MD                              0.5343     0.0719    7.43  1.0e-13 ***
## s_N_PD                              0.0400     0.0594    0.67   0.5012    
## s_N_P                               0.2439     0.0528    4.62  3.8e-06 ***
## s_Conscientiousness                -0.1394     0.3815   -0.37   0.7149    
## s_Extraversion                      1.3244     0.4363    3.04   0.0024 ** 
## s_Neuroticism                       0.6101     0.4233    1.44   0.1495    
## s_Openness                          2.0950     0.4108    5.10  3.4e-07 ***
## DayWD:PeriodAfternoon              -0.6070     0.1532   -3.96  7.4e-05 ***
## DayND:PeriodAfternoon              -0.5721     0.1789   -3.20   0.0014 ** 
## DayWD:s_PA_Percent                  1.3180     0.1365    9.66  < 2e-16 ***
## DayND:s_PA_Percent                  0.6526     0.1188    5.49  4.0e-08 ***
## DayWD:s_PA_Intensity               -0.8453     0.1312   -6.44  1.2e-10 ***
## DayND:s_PA_Intensity               -0.2398     0.1238   -1.94   0.0527 .  
## s_PA_Percent:s_PA_Intensity         0.3026     0.1086    2.79   0.0053 ** 
## DayWD:s_PA_Percent:s_PA_Intensity  -0.7343     0.1573   -4.67  3.0e-06 ***
## DayND:s_PA_Percent:s_PA_Intensity  -0.5047     0.1159   -4.36  1.3e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## optimizer (Nelder_Mead) convergence code: 0 (OK)
## Model failed to converge with max|grad| = 0.00203935 (tol = 0.002, component 1)
Observations 11176
Dependent variable SNS_Stress
Type Mixed effects generalized linear model
Family binomial
Link logit
AIC 8732.220
BIC 8937.222
Pseudo-R² (fixed effects) 0.442
Pseudo-R² (total) 0.700
Fixed Effects
Est. 2.5% 97.5% z val. p
(Intercept) 0.400 -0.546 1.346 0.828 0.408
s_Cadence 0.552 0.493 0.611 18.420 0.000
DayWD 0.648 0.361 0.936 4.418 0.000
DayND 0.844 0.476 1.212 4.491 0.000
PeriodAfternoon 0.600 0.343 0.857 4.573 0.000
Activity4NonWork -0.352 -0.516 -0.188 -4.210 0.000
Activity4Driving 0.684 0.484 0.884 6.706 0.000
s_PA_Percent -0.167 -0.334 0.000 -1.958 0.050
s_PA_Intensity 0.442 0.274 0.610 5.164 0.000
s_Sleep_Time 0.086 -0.007 0.179 1.802 0.071
ProfessionSP -1.477 -2.927 -0.027 -1.997 0.046
s_N_MD 0.534 0.393 0.675 7.435 0.000
s_N_PD 0.040 -0.077 0.156 0.673 0.501
s_N_P 0.244 0.140 0.347 4.621 0.000
s_Conscientiousness -0.139 -0.887 0.608 -0.365 0.715
s_Extraversion 1.324 0.469 2.179 3.036 0.002
s_Neuroticism 0.610 -0.220 1.440 1.441 0.150
s_Openness 2.095 1.290 2.900 5.100 0.000
DayWD:PeriodAfternoon -0.607 -0.907 -0.307 -3.963 0.000
DayND:PeriodAfternoon -0.572 -0.923 -0.222 -3.198 0.001
DayWD:s_PA_Percent 1.318 1.051 1.585 9.659 0.000
DayND:s_PA_Percent 0.653 0.420 0.885 5.492 0.000
DayWD:s_PA_Intensity -0.845 -1.103 -0.588 -6.441 0.000
DayND:s_PA_Intensity -0.240 -0.482 0.003 -1.937 0.053
s_PA_Percent:s_PA_Intensity 0.303 0.090 0.515 2.788 0.005
DayWD:s_PA_Percent:s_PA_Intensity -0.734 -1.043 -0.426 -4.668 0.000
DayND:s_PA_Percent:s_PA_Intensity -0.505 -0.732 -0.278 -4.356 0.000
Random Effects
Group Parameter Std. Dev.
Participant (Intercept) 1.680
Grouping Variables
Group # groups ICC
Participant 24 0.462

23 Visualization of Stress from SNS Index Model

 

24 Composite Figure for Stress from SNS Index Model

##  [1] "T001" "T002" "T003" "T004" "T005" "T006" "T007" "T008" "T009" "T010"
## [11] "T011" "T012" "T014" "T015" "T016" "T017" "T018" "T019" "T020" "T021"
## [21] "T022" "T023" "T024" "T025"